Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-13T04:49:11.898Z Has data issue: false hasContentIssue false
  • English
  • Français

Merging agent-based simulation and vehicle dynamics: a hybrid approach for value exploration in the mining industry

Published online by Cambridge University Press:  16 May 2024

Carl Nils Konrad Toller Melén ,
Raj Jiten Machchhar  and
Alessandro Bertoni
Carl Nils Konrad Toller Melén*
Affiliation:
Blekinge Institute of Technology, Sweden
Raj Jiten Machchhar
Affiliation:
Blekinge Institute of Technology, Sweden
Alessandro Bertoni
Affiliation:
Blekinge Institute of Technology, Sweden
*
carl.toller.melen@bth.se

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Innovation plays a vital role in ensuring sustainable mining operations. Electrification and autonomy are two significant trends, but their implementation brings complexity at vehicle and site levels. Therefore, it is crucial to understand how these technologies impact the overall site value creation. This paper suggests a hybrid approach that combines Agent-Based Simulation and vehicle dynamics modeling to explore site configurations. By regarding a mining site as a System-of-Systems, designers can concurrently test different designs to find the optimal combination for a specific scenario.

Keywords

simulation-based designautonomous vehiclessystem of systemselectromobility
Type
Systems Engineering and Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2755 - 2764
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

References

Avison, D.E., Lau, F., Myers, M.D. and Nielsen, P.A. (1999), “Action research”, Communications of the ACM, Vol. 42 No. 1, pp. 94–97. https://doi.org/10.1145/291469.291479CrossRefGoogle Scholar
Blessing, L.T.M. and Chakrabarti, A. (2009), DRM, a Design Research Methodology, Springer London, London. https://doi.org/10.1007/978-1-84882-587-1CrossRefGoogle Scholar
Borshchev, A. and Filippov, A. (2004), “From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools”, presented at the 22nd international conference of the system dynamics society, Oxford, England, pp. 25–29.Google Scholar
Bradbury, H. (2015), The SAGE Handbook of Action Research, SAGE Publications Ltd, 1 Oliver's Yard, 55 City Road London EC1Y 1SP. https://doi.org/10.4135/9781473921290CrossRefGoogle Scholar
Caterpillar. (2021), “Cat® MineStarTM Automation Solutions”., available at: https://www.cat.com/en_US/by-industry/mining/minestar-solutions/automation.html (accessed 3 November 2023)Google Scholar
Ertugrul, N., Kani, A.P., Davies, M., Sbarbaro, D. and Moran, L. (2020), “Status of Mine Electrification and Future Potentials”, 2020 International Conference on Smart Grids and Energy Systems (SGES), presented at the 2020 International Conference on Smart Grids and Energy Systems (SGES), IEEE, Perth, Australia, pp. 151–156. https://doi.org/10.1109/SGES51519.2020.00034CrossRefGoogle Scholar
Ghaziania, H., Monjezi, M., Mousavi, A., Dehghani, H. and Bakhtavar, E. (2021), “Design of Loading and Transportation Fleet in Open-Pit Mines using Simulation Approach and Metaheuristic Algorithms”, Journal of Mining and Environment, Vol. 12 No. 4. https://doi.org/10.22044/jme.2022.11450.2131Google Scholar
Guzzella, L. and Sciarretta, A. (2013), Vehicle Propulsion Systems: Introduction to Modeling and Optimization, Springer Berlin Heidelberg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35913-2CrossRefGoogle Scholar
Hester, P.T. and Tolk, A. (2010), “Applying methods of the M&S spectrum for complex systems engineering”, Proceedings of the 2010 Spring Simulation Multiconference, presented at the SpringSim ’10: 2010 Spring Simulation Conference, Society for Computer Simulation International, Orlando Florida, pp. 1–8. https://doi.org/10.1145/1878537.1878615CrossRefGoogle Scholar
Huayanca, D., Bujaico, G. and Delgado, A. (2023), “Application of Discrete-Event Simulation for Truck Fleet Estimation at an Open-Pit Copper Mine in Peru”, Applied Sciences, Vol. 13 No. 7, p. 4093. https://doi.org/10.3390/app13074093CrossRefGoogle Scholar
Humphreys, D. (2001), “Sustainable development: can the mining industry afford it?”, Resources Policy, Vol. 27 No. 1, pp. 1–7. https://doi.org/10.1016/S0301-4207(01)00003-4CrossRefGoogle Scholar
Keating, C., Rogers, R., Unal, R., Dryer, D., Sousa-Poza, A., Safford, R., Peterson, W., et al. . (2003), “System of Systems Engineering”, Engineering Management Journal, Vol. 15 No. 3, pp. 36–45. https://doi.org/10.1080/10429247.2003.11415214CrossRefGoogle Scholar
Kinder, A., Henshaw, M. and Siemieniuch, C. (2014), “System of systems modelling and simulation - an outlook and open issues”, International Journal of System of Systems Engineering, Vol. 5 No. 2, p. 150. https://doi.org/10.1504/IJSSE.2014.064835CrossRefGoogle Scholar
Komatsu. (2023), “Komatsu Autonomous Haulage System”, 3 November., available at: https://www.komatsu.com.au/innovation/autonomous-haulage-system (accessed 3 November 2023)Google Scholar
Kumar, R. and Kumar, U. (2004), “Service Delivery Strategy: Trends in Mining Industries”, International Journal of Surface Mining, Reclamation and Environment, Vol. 18 No. 4, pp. 299–307. https://doi.org/10.1080/1389526042000274926CrossRefGoogle Scholar
Lindgren, L., Grauers, A., Ranggård, J. and Mäki, R. (2022), “Drive-Cycle Simulations of Battery-Electric Large Haul Trucks for Open-Pit Mining with Electric Roads”, Energies, Vol. 15 No. 13, p. 4871. https://doi.org/10.3390/en15134871CrossRefGoogle Scholar
Machchhar, R.J., Scurati, G.W. and Bertoni, A. (2023), “Leveraging Information Visualization Through Extended Reality (XR) for Incorporating Changeability in Product-Service Systems”, in Camarinha-Matos, L.M., Boucher, X. and Ortiz, A. (Eds.), Collaborative Networks in Digitalization and Society 5.0, Vol. 688, Springer Nature Switzerland, Cham, pp. 255–268. https://doi.org/10.1007/978-3-031-42622-3_18CrossRefGoogle Scholar
Maier, M.W. (1998), “Architecting principles for systems-of-systems”, Systems Engineering, Vol. 1 No. 4, pp. 267–284. https://doi.org/10.1002/(SICI)1520-6858(1998)1:4<267::AID-SYS3>3.0.CO;2-D3.0.CO;2-D>CrossRefGoogle Scholar
Ranjbar, H. and Sharifzadeh, M. (2022), “Electrification of Transportation: Transition Toward Energy Sustainability”, in Sharifzadeh, M. (Ed.), Industry 4.0 Vision for Energy and Materials, 1st ed., Wiley, pp. 269–296. https://doi.org/10.1002/9781119695868.ch10CrossRefGoogle Scholar
Salama, A., Greberg, J. and Schunnesson, H. (2014), “The use of discrete event simulation for underground haulage mining equipment selection”, International Journal of Mining and Mineral Engineering, Vol. 5 No. 3, p. 256. https://doi.org/10.1504/IJMME.2014.064486CrossRefGoogle Scholar
Sánchez, F. and Hartlieb, P. (2020), “Innovation in the Mining Industry: Technological Trends and a Case Study of the Challenges of Disruptive Innovation”, Mining, Metallurgy & Exploration, Vol. 37 No. 5, pp. 1385–1399. https://doi.org/10.1007/s42461-020-00262-1CrossRefGoogle Scholar
Shanthikumar, J.G. and Sargent, R.G. (1983), “A Unifying View of Hybrid Simulation/Analytic Models and Modeling”, Operations Research, Vol. 31 No. 6, pp. 1030–1052. https://doi.org/10.1287/opre.31.6.1030CrossRefGoogle Scholar
Silva, R. de A. and Braga, R.T.V. (2020), “Simulating Systems-of-Systems With Agent-Based Modeling: A Systematic Literature Review”, IEEE Systems Journal, Vol. 14 No. 3, pp. 3609–3617. https://doi.org/10.1109/JSYST.2020.2980896CrossRefGoogle Scholar
Uday, P. and Marais, K. (2015), “Designing Resilient Systems-of-Systems: A Survey of Metrics, Methods, and Challenges: RESILIENT SoS DESIGN”, Systems Engineering, Vol. 18 No. 5, pp. 491–510. https://doi.org/10.1002/sys.21325CrossRefGoogle Scholar
Volvo Autonomous Solutions. (2023), “Autonomous haulage system for quarries, mining & industrial material handling”., available at: https://www.volvoautonomoussolutions.com/en-en/our-solutions/autonomous-transport-solution-by-volvo/quarries-mining-and-industrial-material-handling.html (accessed 3 November 2023)Google Scholar